The AI & Cloud-Native Infrastructure Blog

Stay updated with the latest news and insights on AI and cloud-native infrastructure through Rafay's highly active blog site

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BioContainers: Streamlining Bioinformatics with the Power of Portability

In today's fast-paced world of bioinformatics, the constant evolution of tools, dependencies, and operating system environments presents a significant challenge. Researchers often spend countless hours grappling with software installation, configuration, and version conflicts, hindering their ability to focus on scientific… Read More

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Why GPUs Are Essential for AI Workloads

As artificial intelligence and machine learning continue to evolve, one thing has become clear: not all infrastructure is created equal. GPUs were originally created for graphics rendering, but have evolved to play a crucial role in AI. To meet the… Read More

Image for IaaS vs PaaS vs SaaS: The Cloud Computing Stack Demystified

IaaS vs PaaS vs SaaS: The Cloud Computing Stack Demystified

In today’s cloud-first world, understanding the differences between Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) is essential for IT decision-makers. These three core cloud models form the backbone of digital transformation,… Read More

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What Is Platform as a Service (PaaS)?

What Is Platform as a Service (PaaS)? Platform as a Service (PaaS) is a cloud computing model, often referred to as the PaaS model, that provides a robust framework for developers to build, test, deploy, and manage applications efficiently. By… Read More

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What is a GPU PaaS?

GPU Platform as a Service (GPU PaaS) is a cloud-native model that gives developers and data scientists secure, on-demand access to GPU resources for running AI, GenAI, and ML workloads.Rafay’s GPU PaaS™ stack simplifies GPU delivery across any environment—enabling faster… Read More

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Introducing Serverless Inference: Team Rafay’s Latest Innovation

The GenAI revolution is in full swing, and for NVIDIA Cloud Partners (NCPs), GPU Cloud Providers (aka GPU Clouds), and Sovereign Cloud operators, it presents a significant opportunity. To keep up with market demands, NCPs and GPU Clouds are looking… Read More

Image for Experience What Composable AI Infrastructure Actually Looks Like — In Just Two Hours

Experience What Composable AI Infrastructure Actually Looks Like — In Just Two Hours

The pressure to deliver on the promise of AI has never been greater. Enterprises must find ways to make effective use of their GPU infrastructure to meet the demands of AI/ML workloads and accelerate time-to-market. Yet, despite making significant investments… Read More

Image for GPU PaaS™ (Platform-as-a-Service) for AI Inference at the Edge: Revolutionizing Multi-Cluster Environments

GPU PaaS™ (Platform-as-a-Service) for AI Inference at the Edge: Revolutionizing Multi-Cluster Environments

Enterprises are turning to AI/ML to solve new problems and simplify their operations, but running AI in the datacenter often compromises performance. Edge inference moves workloads closer to users, enabling low-latency experiences with fewer overheads, but it's traditionally cumbersome to… Read More

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Democratizing GPU Access: How PaaS Self-Service Workflows Transform AI Development

A surprising pattern is emerging in enterprises today: End-users building AI applications have to wait months before they are granted access to multi-million dollar GPU infrastructure.  The problem is not a new one. IT processes in most enterprises are a… Read More

Image for Rafay and Netris: Partnering to speed up consumption and monetization for GPU Clouds

Rafay and Netris: Partnering to speed up consumption and monetization for GPU Clouds

Rafay, a pioneer in delivering platform-as-a-service (PaaS) capabilities for self-service compute consumption, and Netris, a leader in networking Automation, Abstraction, and Multi-tenancy for AI & Cloud operators , are collaborating to help GPU Cloud Providers speed up consumption and monetization… Read More

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Is Fine-Tuning or Prompt Engineering the Right Approach for AI?

While prompt engineering is a quick and cost-effective solution for general tasks, fine-tuning enables superior AI performance on proprietary data. We previously discussed how building a RAG-based chatbot for enterprise data paved the way for creating a comprehensive GenAI platform.… Read More

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GPU PaaS™ Unleashed: Empowering Platform Teams to Drive Innovation

GPUs underpin cutting-edge AI, machine learning, and big data workloads. They also provide critical acceleration for simulation, video rendering, and streaming tasks. With modern enterprises likely to be investing in some or all of these fields, easy access to GPU… Read More